tímaröðagreiningu
Tímaröðgreining (time series analysis) is a statistical method used to analyze time-ordered data points. These data points are collected over a period of time, typically at regular intervals. The primary goal of time series analysis is to understand the underlying structure of the data, identify patterns, and make forecasts about future values.
Key components often examined in time series analysis include trend, seasonality, cyclicality, and randomness. A trend
Various techniques are employed in time series analysis. Moving averages can smooth out fluctuations to reveal
Applications of time series analysis are widespread, including economic forecasting, financial market analysis, weather prediction, sales